Galaxy Morphological Classification with Zernike Moments and Machine Learning Approaches
Classifying galaxies is an essential step for studying their structures and dynamics. Using GalaxyZoo2 (GZ2) fractions thresholds, we collect 545 and 11,735 samples in nongalaxy and galaxy classes, respectively. We compute the Zernike moments (ZMs) for GZ2 images, extracting unique and independent c...
| Published in: | The Astrophysical Journal Supplement Series |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
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| Subjects: | |
| Online Access: | https://doi.org/10.3847/1538-4365/ada8ab |